Full-Stack Engineer for AI‑Vision Platform (Remote + Equity)

Roboflow; United States; On-site; USD 165,000 - 195,000; Full time

Benefits offered by this job

Travel stipend

Productivity stipend

AI tools stipend

Team lunch stipend

Home office stipend

Health insurance coverage

Equity

Job summary

Roboflow is seeking a versatile software engineer to join our distributed team and help scale the end-to-end computer vision pipeline. You’ll mainly work with JavaScript and Python, with Docker, Firebase, and cloud services forming the backbone of our stack.

You’ll own projects from API design to tooling and integrations, have ample autonomy, and help improve our testing and processes as we grow. A curious, proactive mindset and comfort with learning new technologies are essential.

Qualifications

• Versatile generalist with ability to dive into new stacks and tools
• Strong experience with JavaScript/Node.js and Python
• Familiarity with Docker, cloud services (Firebase, GCS, AWS) and APIs
• Willingness to learn and contribute across the stack
• Comfort working in a fast-growing distributed team

Responsibilities

• Contribute to core product features spanning ingestion, annotation, training and deployment
• Build and integrate APIs and tooling with external services
• Help improve testing, front-end/browser and backend collaborations
• Own projects with autonomy and prioritize based on impact
• Collaborate with engineering leadership on scaling the organization

Skills

JavaScript

Node.js

Python

Cloud platforms (AWS)

Docker

TensorFlow.js

Tools

Firebase

Google Cloud Storage

REST APIs

Job description

Roboflow is seeking a versatile software engineer to join our distributed team and help scale the end-to-end computer vision pipeline. You’ll mainly work with JavaScript and Python, with Docker, Firebase, and cloud services forming the backbone of our stack.

You’ll own projects from API design to tooling and integrations, have ample autonomy, and help improve our testing and processes as we grow. A curious, proactive mindset and comfort with learning new technologies are essential.